jiaxiang-cheng / PyTorch-LSTM-for-RUL-Prediction

PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

Date Created 2021-05-01 (3 years ago)

Commits 3 (last one 3 years ago)

Stargazers 130 (0 this week)

Watchers 1 (0 this week)

Forks 23

License apache-2.0

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jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction has Github issues enabled, there are 2 open issues and 0 closed issues.

There have been 1 release, the latest one was published on 2021-06-29 (3 years ago) with the name LSTM for RUL Prediction.

All Topics

lstm cmapss pytorch lstm-neural-networks remaining-useful-life

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updated: 2024-11-06 @ 08:05pm, id: 363314671 / R_kgDOFae97w